Data & Analytics
With the latest addition, the Italian major’s computational capacity passes the exaflop threshold, making the firm the world’s leading company by computing power in the new TOP500 global ranking.
This work describes a study in which distributed data parallel training, paired with a node-local caching pipeline, enabled efficient multigraphics-processing-unit scaling for a CO₂-storage graph-neural-network surrogate while maintaining generalization.
This paper presents a novel reservoir engineering/reservoir simulation approach—a data-driven interwell-connectivity model augmented as a digital twin—to predict reservoir dynamics and optimize operations in the Changqing oil field of China.
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The venture will deploy Eni's real-time, pipeline-integrity monitoring system. -
Geochemical parameters such as total organic carbon (TOC) provides valuable information to understand rock organic richness and maturity and, therefore, optimize hydrocarbon exploration. This article presents a novel work flow to predict continuous high-resolution TOC profiles using machine learning.
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Two wings and a few hours can replace dozens of boots and many months in site selection, planning, and management.
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Norway’s USV joint venture will launch its first unmanned offshore surface vessel in 2025 to support subsea inspection, maintenance, and repairs.
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The industry's increasing dependence on digital systems has escalated the importance of robust cybersecurity strategies, presenting an array of unprecedented challenges.
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SPE and Project Innerspace are organizing the first Geothermal AInnovation Competition. Teams from around the world are invited to participate in this virtual competition aimed at showcasing the potential of AI-assisted work flows in the geothermal life cycle.
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The Brazilian major said it plans to integrate the software throughout its exploration, development, and production operations.
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The US-based drilling contractor is buying the drilling technology company just three weeks after announcing a merger with NexTier Oilfield Solutions.
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Cyber risks facing the oil and gas industry continue to grow. Legal requirements, likewise, are continuing to expand. This article summarizes how these trends may affect oil and gas companies and describes steps companies can take to stay ahead of the curve.
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The authors of this paper describe a solution using machine-learning techniques to predict sandstone distribution and, to some extent, automate the process of optimizing well placement.
